Carlo Stresemann

3.0k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

Carlo Stresemann is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Carlo Stresemann has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Oncology. Recurrent topics in Carlo Stresemann's work include Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (4 papers) and Acute Myeloid Leukemia Research (4 papers). Carlo Stresemann is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (4 papers) and Acute Myeloid Leukemia Research (4 papers). Carlo Stresemann collaborates with scholars based in Germany, Canada and United States. Carlo Stresemann's co-authors include Frank Lyko, Bodo Brueckner, Tanja Musch, Cora Mund, Helga Stopper, Barbara L. Weber, Ruprecht Kuner, Holger Sültmann, Michael Meister and Ulrich Mahlknecht and has published in prestigious journals such as Genes & Development, PLoS ONE and Cancer Research.

In The Last Decade

Carlo Stresemann

15 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Modes of action of the DNA methyltransferase inhibitors azacytidine and decitabine

2008 689 citations Carlo Stresemann, Frank Lyko International Journal of Cancer profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carlo Stresemann Germany	13	1.7k	605	313	187	140	15	2.0k
Madeleine Carreau Canada	18	1.6k 0.9×	487 0.8×	219 0.7×	214 1.1×	273 1.9×	44	1.9k
Michael M. Im United States	14	1.1k 0.6×	280 0.5×	169 0.5×	331 1.8×	144 1.0×	17	1.5k
Tsz Kan Fung Hong Kong	21	1.5k 0.8×	308 0.5×	422 1.3×	506 2.7×	102 0.7×	29	1.9k
Tim Lammens Belgium	23	1.3k 0.7×	410 0.7×	136 0.4×	262 1.4×	103 0.7×	64	1.9k
Andreas Kloetgen United States	18	1.2k 0.7×	314 0.5×	170 0.5×	164 0.9×	70 0.5×	30	1.5k
Christine B. Yoo United States	16	3.1k 1.8×	415 0.7×	179 0.6×	326 1.7×	416 3.0×	17	3.5k
Eric M. Kallin United States	13	2.0k 1.2×	349 0.6×	90 0.3×	123 0.7×	279 2.0×	16	2.4k
Tanja Musch Germany	13	1.8k 1.1×	619 1.0×	72 0.2×	123 0.7×	191 1.4×	13	2.0k
Hong Sai United States	10	1.3k 0.8×	178 0.3×	337 1.1×	345 1.8×	126 0.9×	12	1.9k
Anthony Tubbs United States	16	2.0k 1.2×	329 0.5×	105 0.3×	677 3.6×	202 1.4×	19	2.3k

Countries citing papers authored by Carlo Stresemann

Since Specialization

Citations

This map shows the geographic impact of Carlo Stresemann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carlo Stresemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Stresemann more than expected).

Fields of papers citing papers by Carlo Stresemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlo Stresemann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carlo Stresemann. The network helps show where Carlo Stresemann may publish in the future.

Co-authorship network of co-authors of Carlo Stresemann

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Stresemann. A scholar is included among the top collaborators of Carlo Stresemann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlo Stresemann. Carlo Stresemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Georgi, Victoria, Stefanie Bunse, Volker Badock, et al.. (2024). A miniaturized mode-of-action profiling platform enables high throughput characterization of the molecular and cellular dynamics of EZH2 inhibition. Scientific Reports. 14(1). 1739–1739. 4 indexed citations

Brzezinka, Krzysztof, Ekaterina Nevedomskaya, Ralf Lesche, et al.. (2020). Characterization of the Menin-MLL Interaction as Therapeutic Cancer Target. Cancers. 12(1). 201–201. 34 indexed citations

Brzezinka, Krzysztof, Ekaterina Nevedomskaya, Ralf Lesche, et al.. (2019). Functional diversity of inhibitors tackling the differentiation blockage of MLL-rearranged leukemia. Journal of Hematology & Oncology. 12(1). 66–66. 27 indexed citations

Reynoird, Nicolas, Paweł K. Mazur, Timo Stellfeld, et al.. (2016). Coordination of stress signals by the lysine methyltransferase SMYD2 promotes pancreatic cancer. Genes & Development. 30(7). 772–785. 64 indexed citations

Hernando, Henar, Kathy A. Gelato, Ralf Lesche, et al.. (2015). EZH2 Inhibition Blocks Multiple Myeloma Cell Growth through Upregulation of Epithelial Tumor Suppressor Genes. Molecular Cancer Therapeutics. 15(2). 287–298. 52 indexed citations

Fernández‐Montalván, Amaury E., et al.. (2014). Quantification of Histone H3 Lys27 Trimethylation (H3K27me3) by High-Throughput Microscopy Enables Cellular Large-Scale Screening for Small-Molecule EZH2 Inhibitors. SLAS DISCOVERY. 20(2). 190–201. 19 indexed citations

Hagemann, Sabine, Dirk Kuck, Carlo Stresemann, et al.. (2012). Antiproliferative Effects of DNA Methyltransferase 3B Depletion Are Not Associated with DNA Demethylation. PLoS ONE. 7(5). e36125–e36125. 12 indexed citations

Hassel, J.C., Antje Sucker, Lutz Edler, et al.. (2010). MGMT gene promoter methylation correlates with tolerance of temozolomide treatment in melanoma but not with clinical outcome. British Journal of Cancer. 103(6). 820–826. 38 indexed citations

Rius, Maria, Carlo Stresemann, Daniela Keller, et al.. (2009). Human concentrative nucleoside transporter 1-mediated uptake of 5-azacytidine enhances DNA demethylation. Molecular Cancer Therapeutics. 8(1). 225–231. 54 indexed citations

10.

Stresemann, Carlo & Frank Lyko. (2008). Modes of action of the DNA methyltransferase inhibitors azacytidine and decitabine. International Journal of Cancer. 123(1). 8–13. 689 indexed citations breakdown →

11.

Stresemann, Carlo, et al.. (2008). Azacytidine causes complex DNA methylation responses in myeloid leukemia. Molecular Cancer Therapeutics. 7(9). 2998–3005. 77 indexed citations

12.

Brueckner, Bodo, Carlo Stresemann, Ruprecht Kuner, et al.. (2007). The Human let-7a-3 Locus Contains an Epigenetically Regulated MicroRNA Gene with Oncogenic Function. Cancer Research. 67(4). 1419–1423. 349 indexed citations

13.

Weber, Barbara L., Carlo Stresemann, Bodo Brueckner, & Frank Lyko. (2007). Methylation of Human MicroRNA Genes in Normal and Neoplastic Cells. Cell Cycle. 6(9). 1001–1005. 215 indexed citations

14.

Stresemann, Carlo, Bodo Brueckner, Tanja Musch, Helga Stopper, & Frank Lyko. (2006). Functional Diversity of DNA Methyltransferase Inhibitors in Human Cancer Cell Lines. Cancer Research. 66(5). 2794–2800. 297 indexed citations

15.

Mund, Cora, Björn Hackanson, Carlo Stresemann, Michael Lübbert, & Frank Lyko. (2005). Characterization of DNA Demethylation Effects Induced by 5-Aza-2′-Deoxycytidine in Patients with Myelodysplastic Syndrome. Cancer Research. 65(16). 7086–7090. 89 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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